Own the technical health and quality of existing features and new AI-powered features
Contribute and support successful sprint planning, execution, and retrospectives for features
Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos
Work closely with product management, data science teams, and other engineering teams to define product features
Collaborate with Lead Engineers, Engineering Managers, and Architects
Contribute to the continuous improvement of product technologies
Create comprehensive documentation and training materials to improve team efficiency
Mentor and guide team members
Contribute high-quality code to the product
Regularly evaluate and refine engineering processes
Collaborate with DevOps and SaaS Teams

5+ years of full stack Software Development experience, including design patterns and data structures
Proficiency with key application technologies: Django, Python, Postgres databases, and AWS ECS
Expertise with AWS cloud infrastructure and deployment models, including automation, orchestration, and scale
Excellent cross-functional communication skills
Strong experience with Agile methodologies, including Kanban, stand-ups, and retrospectives
Strong problem-solving skills with a focus on delivering solutions to complex technical challenges in AI and software engineering
Proficient at using AI tools and prompt engineering methods to solve software engineering problems
Experience incorporating AI technologies, such as LLMs, into existing software products
Experience mentoring junior engineers and driving a collaborative, team-first culture
Fine attention to detail and encouraging approach in communicating concerns and suggestions in Code Reviews

Lead Software Engineer

Key skills